Forthcoming articles


International Journal of Collaborative Enterprise


These articles have been peer-reviewed and accepted for publication in IJCEnt, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of Collaborative Enterprise (4 papers in press)


Regular Issues


  • Developing a genetic based multi-objective algorithm to optimize job shop scheduling problems.   Order a copy of this article
    by Mohammed Hussein, Abd_Elrahman Elgendy 
    Abstract: Dynamic job shop scheduling is one of the problems that get little attention in literature as it is known as an NP-hard combinatorial optimization problem. few researchers handled the mathematical model and the approaches of optimizing the schedule efficiency and stability. As events, such as (machine breakdown, arriving new jobs or processing time variation) are hard to be formulated in a mathematical model, this research introduces a dynamic multi-objective genetic algorithm based on partial repair reactive strategy. The reactive strategy is selected to deal with the dynamic nature of job shop by applying partial repair policy for optimizing the scheduling efficiency and the schedule stability simultaneously. Experimental results show that the proposed algorithm provided better solutions than key problem solutions in dynamic job shop scheduling problems published in literature.
    Keywords: Dynamic job shop scheduling; repair strategy; scheduling efficiency and stability; genetic algorithm.

    by Bopanna V. Chowdary, Kuldeep Ojha 
    Abstract: Purpose: The purpose of this paper was to show a successful improvement in operations with the implementation of lean manufacturing strategies in oil and gas sector in Trinidad. The focus in the research work was on the Pumps department of maintenance, repair and overhaul (MRO) section of selected case organization. Design/Methodology: First of all, an in-depth literature review was performed on LM tools. The use of a single case study, interviews and GEMBA walkthrough was carried out so that sufficient quantitative and qualitative techniques can be retrieved. The problems faced at selected case organization were analyzed using Value Stream Mapping (VSM) together with other lean techniques. Proposed improvements were developed with the application of various lean strategies. The proposed future state value stream map (FSVSM) was developed. Findings: Findings revealed that a traditional approach is currently being used in repairing pumps on the shop floor thus increasing the opportunity for hidden wastes between the processes and increased repair time for defective equipment. There were little or no evidence of Value Stream Mapping and 5S techniques being used on the shop floor. The results revealed that after the suggestion of lean tools provided, improved shop floor utilization, reduction in preparation time by 66% and hidden wastes were identified on the shop floor. Research limitations/implications: The research is based on the single case study and results have been validated only by checking with company personnel. However, rather than seeking some theoretical generalisation, the objective of the study was to examine how the lean strategies can be helpful for similar manufacturing organizations. Originality/value: An in-depth review of available literature on the subject indicated that implementation of the lean approach in Caribbean oil and gas sector has not been explored. The case study not only provides a road map for similar organizations to achieve operational improvement but is also valuable for academic and research community with an insight into practical implementation of lean principles.
    Keywords: lean; MRO; maintenance repairs; efficiency; wastes; 5S; VSM.

  • An Empirical Investigation of Enterprise Systems Adoption in Small & Medium Enterprises   Order a copy of this article
    by Amin Shaqrah 
    Abstract: Enterprise systems (ES) has intensely automated and integrated the whole business functions if adopted. The most critical of the ES adoption criteria: environmental pressure; perceived ease of use; readiness; and perceived usefulness. The mentioned criteria were studied along with sixty several kinds small and medium business firms (SMEs). To investigate the data were collected researcher applying convergent and discriminant factor analyses using EQS 6.3 and SPSS 21. The study has concluded that all suggested criteria play the main factors of ES adoption in SMEs. Results, implications for the SMEs managers and stakeholders role are discussed.
    Keywords: Enterprise systems; TAM; SMEs; SEM.

  • Multi-objective Optimization of Profile Accuracy in Two Point Incremental Forming using Taguchi-Based Grey Relation Analysis   Order a copy of this article
    by Adham E. Ragab 
    Abstract: This study investigates the effect of four key process parameters in two point incremental forming (TPIF) on the profile accuracy of the manufactured parts. The experiment was applied to A1050-H14 commercial aluminum sheets under different values for tool diameter, feed rate, vertical step size, and sheet thickness. The experiments were designed using the Taguchi L8 orthogonal array method with two replicates. Profile accuracy was estimated by measuring four quality parameters, namely, circularity error, waviness error, depth error, and side wall angle error. Analysis of variance (ANOVA) was used for studying the significance of each process parameter on every quality parameter. Grey relational analysis (GRA) was then used to perform a multi-objective optimization of the four quality parameters simultaneously. The results showed that while each quality parameter may be optimized separately, it is considerably difficult to optimize all of them together. The contradicting effects of studied process parameters on the measured profile quality parameters reduce the likelihood of obtaining optimum process parameter values that enhance all aspects of profile accuracy. In practice, a compromise must be made based on the profile feature necessary in a given situation.
    Keywords: TPIF; Grey Relation Analysis; Taguchi method; Circularity error; Waviness error.